Leather Clothes

Asia

Revenue in the Leather Clothes segment amounts to US$5,387m in 2019. The market is expected to grow annually by 7.6% (CAGR 2019-2023).

In global comparison, most revenue is generated in India (US$3,675m in 2019).

In relation to total population figures, per person revenues of US$1.30 are generated in 2019.

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All clothing articles made of leather (mainly leather jackets and pants), excluding accessories like belts, make up the segment of Leather Clothes. To ensure compatibility between market segments, when quantities were not included in historical data, quantity equivalents have been estimated.

Revenue
Revenue Growth

Reading Support
Revenue in the Leather Clothes segment amounts to US$5,387m in 2019.
Reading Support
The Leather Clothes segment is expected to show a revenue growth of 8.3% in 2020.

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Revenue

Revenue Growth

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Revenue:

The “Revenue” box shows the forecasted revenue development of the selected market (market segment, region) in million US dollars for each year.

Revenue Growth:

The “Revenue Growth” box shows the year-over-year revenue development of the selected market (market segment, region) in percentage terms.

A definition and detailed explanation of the displayed markets can be found here.×

Average Revenue per Capita

in the Leather Clothes market
in US$

Reading Support
The average revenue per person in the market for Leather Clothes amounts to US$1.30 in 2019.

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Average Revenue per Capita:

The "Average Revenue per Capita" box shows the average market value of the selected market (market segment, region) per person in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.×

Volume
Volume Growth

in the Leather Clothes market
in million pieces
in percent

Reading Support
In the market for Leather Clothes, volume is expected to amount to 77.86 m pcs. by 2023.
Reading Support
The market for Leather Clothes is expected to show a volume growth of -0.8% in 2020.

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Volume

Volume Growth

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Volume:

The “Volume” box shows the apparent consumption of the selected product (market segment, region) in millions for each year.

A definition and detailed explanation of the displayed markets can be found here.×

Average Volume per Capita

in the Leather Clothes market
in pieces

Reading Support
The average volume per person in the market for Leather Clothes amounts to 0.02 pieces in 2019.

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Average Volume per Capita:

The "Average Volume per Capita" box shows the average volume of the selected market (market segment, region) per person for each year.

A definition and detailed explanation of the displayed markets can be found here.×

Price per Unit

in the Leather Clothes market
in US$

Reading Support
The average price per unit in the market for Leather Clothes amounts to US$68.34 in 2019.

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Price per Unit:

The "Price per Unit" box shows the average retail value per unit in the selected market (market segment, region) in US dollars for each year.

A definition and detailed explanation of the displayed markets can be found here.×

Global Comparison - Revenue

in the Leather Clothes market
in million US$

Reading Support
With a market volume of US$3,675m in 2019, most revenue is generated in India.

Global Comparison – Revenue:

The “Revenue” tab shows a comparison of revenues for the leading economies in the selected market (market segment, region) and year.

A definition and detailed explanation of the displayed markets can be found here.×

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Key Market Indicators

The following Key Market Indicators give an overview of the demographic, economic and technological development of the selected region on the basis of general KPIs. The calculation of Statista’s Market Outlook is based on a complex market-driver logic including over 400 region-specific data sets.

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CAGR(2015-2023)

Population in m

Number of individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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0-4 years in m

Number of individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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5-9 years in m

Number of individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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10-14 years in m

Number of individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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15-19 years in m

Number of individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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20-24 years in m

Number of individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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25-29 years in m

Number of individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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30-34 years in m

Number of individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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35-39 years in m

Number of individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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40-44 years in m

Number of individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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45-49 years in m

Number of individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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50-54 years in m

Number of individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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55-59 years in m

Number of individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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60-64 years in m

Number of individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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65-69 years in m

Number of individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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70-74 years in m

Number of individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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75-79 years in m

Number of individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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80-84 years in m

Number of individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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85-89 years in m

Number of individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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90-94 years in m

Number of individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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95-99 years in m

Number of individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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100+ years in m

Number of individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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Female population in m

Number of female individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects. | Source: UN

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0-4 years in m

Number of female individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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5-9 years in m

Number of female individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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10-14 years in m

Number of female individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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15-19 years in m

Number of female individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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20-24 years in m

Number of female individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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25-29 years in m

Number of female individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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30-34 years in m

Number of female individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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35-39 years in m

Number of female individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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40-44 years in m

Number of female individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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45-49 years in m

Number of female individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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50-54 years in m

Number of female individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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55-59 years in m

Number of female individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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60-64 years in m

Number of female individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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65-69 years in m

Number of female individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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70-74 years in m

Number of female individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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75-79 years in m

Number of female individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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80-84 years in m

Number of female individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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85-89 years in m

Number of female individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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90-94 years in m

Number of female individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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95-99 years in m

Number of female individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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100+ years in m

Number of female individuals (age 100+) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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Male population in m

Number of male individuals (all ages) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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0-4 years in m

Number of male individuals (age 0-4) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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5-9 years in m

Number of male individuals (age 5-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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10-14 years in m

Number of male individuals (age 10-14) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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15-19 years in m

Number of male individuals (age 15-19) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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20-24 years in m

Number of male individuals (age 20-24) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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25-29 years in m

Number of male individuals (age 25-29) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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30-34 years in m

Number of male individuals (age 30-34) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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35-39 years in m

Number of male individuals (age 35-39) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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40-44 years in m

Number of male individuals (age 40-44) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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45-49 years in m

Number of male individuals (age 45-49) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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50-54 years in m

Number of male individuals (age 50-54) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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55-59 years in m

Number of male individuals (age 55-59) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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60-64 years in m

Number of male individuals (age 60-64) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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65-69 years in m

Number of male individuals (age 65-69) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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70-74 years in m

Number of male individuals (age 70-74) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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75-79 years in m

Number of male individuals (age 75-79) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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80-84 years in m

Number of male individuals (age 80-84) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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85-89 years in m

Number of male individuals (age 85-89) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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90-94 years in m

Number of male individuals (age 90-9) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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95-99 years in m

Number of male individuals (age 95-99) living in the selected region, the data reflect the United Nations' medium variant of World Population Prospects | Source: UN

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Business cycle

Click arrow to expand

Government gross debt (% of GDP) in %

Goverment gross debt consists of all liabilities that require payment or payments of interest and/or principal by the debtor to the creditor at a date or dates in the future. | Source: IMF

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Savings rate (% of GDP) in %

The savings rate shown here refers to the gross national saving that is composed of gross disposable incomes less final consumption expenditure after taking account of an adjustment for pension funds. | Source: IMF

Consumer spending per capita for food and non-alcoholic beverages (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. In contrast, the Food market in the Consumer Market Outlook covers only certain segments of processed food and excludes for example fresh food, oils and fats and some other items. The markets for Alcoholic, Non-Alcoholic and Hot Drinks in turn not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés) that are valued at wholesale prices. | Source: Statista

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Alcohol, tobacco in US$

Consumer spending per capita for alcoholic beverages, tobacco and narcotics (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). The COICOP definition varies from the market definitions employed in the Consumer Market Outlook. It covers all private household spendings meant for consumption at home. The market for Alcoholic, Non-Alcoholic and Hot Drinks not only include sales for at-home consumption (off-trade) but also sales to the on-trade sector (restaurants, bars, cafés) that are valued at wholesale prices. | Source: Statista

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Clothing, footwear in US$

Consumer spending per capita for clothing and footwear (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). Included are both consumption of goods as well as services (cleaning and cobblers). | Source: Statista

Consumer spending per capita for furnishings, household equipment and routine maintenance of the house (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista

Consumer spending per capita for transport (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. | Source: Statista

Consumer spending per capita for restaurants and hotels (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate) | Source: Statista

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Other in US$

Consumer spending per capita for miscellaneous goods and services (according to the Classification of Individual Consumption Purposes, COICOP) in the selected region (in current prices, constant exchange rate). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. | Source: Statista

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Consumer price index (CPI)

Consumer price index (CPI) for a weighted basket of goods and services. The weights of the components vary by country according to local consumption patterns. The base year (100) has been set to 2017 for all countries, the base year of the input data may vary. | Source: IMF, Statista

Consumer price index for miscellaneous goods and services. These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Gaps filled with next higher COICOP position. | Source: IMF, national statististical offices, Statista

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Price level (U.S.=100)

Estimated price level index for all goods and services for individual private consumption (U.S.=100). Data has been extrapolated from the latest iteration of the World Bank's International Comparison Program (2011) using inflation data. The timeline has been stabilised for currency effects by using the average exchange rate for 2017. Numbers above 100 signal that prices are on average higher in this region than in the U.S., numbers below would mean prices in this region are on average lower than in the U.S.. | Source: Statista

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Foodstuffs, beverages

Estimated price level index for food and non-alcoholic beverages (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Alcohol, tobacco

Estimated price level index for alcoholic beverages, tobacco and narcotics (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Clothing, footwear

Estimated price level index for clothing and footwear (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Housing

Estimated price level index for housing, water, electricity, gas and other fuels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Household

Estimated price level index for furnishings, household equipment and routine maintenance of the house (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Health

Estimated price level index for health (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Transport

Estimated price level index for transport (U.S.=100). This group inlcudes the purchase of vehicles, maintenenace of vehicles as well as transportation services. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Communication

Estimated price level index for communication (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Recreation, culture

Estimated price level index for recreation and culture (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Education

Estimated price level index for education (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Restaurants, hotels

Estimated price level index for restaurants and hotels (U.S.=100). Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Other

Estimated price level index for other goods and services (U.S.=100). These include personal care products and services, personal items like watches and jewellery as well as all other products and services not mentioned elsewhere. Data has been extrapolated from the last iteration of the World Bank's International Comparison Program (ICP) using inflation data. The timeline has been stabilised for currency effects by using a constant exchange rate. | Source: Statista

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Price of a Big Mac in US$

The price of a Big Mac at McDonald's has been introduced by the Economist in 1986 as an illustrative example to compare price levels between countries. The prices have been converted from Local Currency Units (LCU) using the average exchange rate of 2017. | Source: Economist, Statista

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Tax rates

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Sales tax rate in %

Displayed is the standard rate. Due to local sales taxes, the overall tax rate may vary within the country. Likewise, for some product groups and services different rates might apply. | Source: Statista

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Corporate tax rate in %

Displayed is the typical rate for corporate income. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista

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Personal income tax rate in %

Displayed is the top marginal tax rate. Due to local taxes, the overall tax rate may vary within the country. | Source: KPMG, Statista

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Tourism

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International tourism departures in m

Number of people from the selected region setting out to travel other countries for touristic purposes | Source: World Bank, Statista

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International tourist arrivals in m

Number of visitors from abroad arriving in the selected region for touristic purposes | Source: World Bank, Statista

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International tourism expenditure in billion US$

International tourism expenditures are expenditures of international outbound visitors in other countries, including payments to foreign carriers for international transport. Domestic tourism expenditures are therefore not inlcuded. The data is not adjusted for inflation or currency effects.| Source: World Bank, Statista

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International tourism receipts in billion US$

International tourism receipts denote expenditures by inbound tourists from other countries in the selected region. Receipts from domestic tourism are not included. The data is not adjusted for inflation or currency effects. | Source: World Bank, Statista

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International trade

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Trade (% of GDP) in %

Sum of exports and imports of goods and services in relation to total gross domestic product (GDP) | Source: World Bank, OECD, Statista

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Current account balance (% of GDP) in %

The current account balance is the sum of net exports of goods and services, net primary income, and net secondary income. Here it is shown as a percentage of total gross domestic product (GDP). | Source: World Bank, IMF, OECD, Statista

Simple mean of applied tariff rates for all products in the selected region | Source: World Bank, Statista

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Documents to export in #

Number of documents that have to be filled out to comply with all procedures required in the selected region to export goods from it | Source: World Bank, Statista

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Time to export in d

Time in calendar days that is necessary to comply with all procedures required in the selected region to export goods from it | Source: World Bank, Statista

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Cost to export in US$

Average costs to export a container (20-foot equivalent) from the selected region. Included are costs for documents, administrative fees for customs clearance and technical control, customs broker fees and terminal handling charges and inland transport. Not included are tariffs or trade taxes nor illicit payments. | Source: World Bank, Statista

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Documents to import in #

Number of documents that have to be filled out to comply with all procedures required in the selected region to import goods into it | Source: World Bank, Statista

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Time to import in d

Time in calendar days that is necessary to comply with all procedures required in the selected region to import goods to it | Source: World Bank, Statista

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Cost to import in US$

Average costs to import a container (20-foot equivalent) into the selected region. Included are costs for documents, administrative fees for customs clearance and technical control, customs broker fees and terminal handling charges and inland transport. Not included are tariffs or trade taxes nor illicit payments. | Source: World Bank, Statista

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Finance

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Credit card penetration in %

Percentage of individuals (total population over 16 years) who own at least one credit card. | Source: World Bank, Statista

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Debit card penetration in %

Percentage of individuals (total population over 16 years) who own at least one debit card. | Source: World Bank, Statista

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POS terminals in k

Total number of point-of sale terminals located in the selected region | Source: Bank for International Settlements, Statista

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Payment transactions at terminals in bn

Number of non-cash transactions at point-of-sale terminals (EFTPOS) located in the selected region | Source: Bank for International Settlements, Statista

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Online banking penetration in %

Percentage of individuals (total population over 16 years) using online-banking services at least once a year (e.g. bank transfers, account information). | Source: Eurostat, Statista

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